code: def test_predict(self):
      model = eg.Model(module=eg.Linear(1))
  
      X = np.random.uniform(size=(5, 2))
      y = np.random.randint(10, size=(5, 1))
  
      y_pred = model.predict(X)
  
      assert y_pred.shape == (5, 1)
  
imports: import typing
  import unittest
  from dataclasses import dataclass
  from hashlib import new
  from pathlib import Path
  from tempfile import TemporaryDirectory
  import cloudpickle
  import jax
  import jax.numpy
  import numpy
  import optax
  import pytest
  import sh
  import tensorflow
  from treex.nn.linear import Linear
  import elegy
label_desc: Use image node_id 1 for calling the ModelBasicTest obj's underlying member method code with example usage: obj.test_predict() without return types